Re: st: Some basic help on programming

'
Prakash Singh <prakashbhu@gmail.com>:
" So what I need to do is break the data item wise to get value of operating
expences for different head and then merge the item wise data to get
vale of total operating expences of the firm."
This means to me that you want totals for one or more of the quantity and value variables for each item in level "3". Renaming each variable is unnecessary. You can do what you want with -collapse-. Here is an outline of code which you will have to tweak; only you know what use asicc_code plays in your analysis, for example.
*******************************************
use "level3_list.dta", clear
label define codelab 309 "Manufacturing" [....] 319 "Trade"
label values item_code codelab
collapse (sum) unit_quantity= unit_quantity quantity=quantity value = value, by(item_code)
gen byte level =3
save totlevel3, replace
********************************************
Then append all the totlevel data sets and go on from there.
To see how -collapse- works, try this:
************************
sysuse auto, clear
collapse (sum) mpg=mpg price=price, by(foreign)
list
*****************
Steve Samuels
sjsamuels@gmail.com
On Apr 10, 2012, at 4:50 AM, Prakash Singh wrote:
Maarten
I am sorry but its not like that.
For example in one lavel there is this item var in which we have ten
catagory (309-3019). Each of these item is for some head of
expenditute or receipt or sources of asset or sales etc.
Let try again with the example of do file and sorry if I am not making
myself clear.
use "level3_list.dta", clear
keep if item_code==309
ren item_code item_code_manu
ren asicc_code asicc_code_manu
ren unit_quantity unit_quantity_manu
ren quantity quantity_manu
ren value value_manu
sort common_id
save "item309.dta",replace
use "level3_list.dta", clear
keep if item_code==319
ren item_code item_code_trade
ren asicc_code asicc_code_trade
ren unit_quantity unit_quantity_trade
ren quantity quantity_trade
ren value value_trade
sort common_id
save "item319.dta",replace
here item (309-319) are operating expences under different heads like
manufacturing, transport, energy repair etc of the firm. So what I
need to do is break the data item wise to get value of operating
expences for different head and then merge the item wise data to get
vale of total operating expences of the firm.
Prakash
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